Multi-timbre chord classification using wavelet transform and self-organized map neural networks
Borching Su, Shyh‐Kang Jeng · 2002
This paper presents a new method for musical chord recognition based on a model of human perception. We classify the chords directly from the sound without the information of timbres and notes. A wavelet-based transform as well as a self-organized map (SOM) neural network is adopted to imitate human ears and cerebra, respectively. The resultant system can classify chords very well even in a noisy environment.